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Introduction to Data Science

Name: Introduction to Data Science
Rating: 4.52 (3705 reviews)

Learn life cycle of data, time series, and more beneficial skills with Introduction to Data Science.

Instructor:

Dr. Abhinanda Sarkar

4.52

Ratings

Beginner

Level

1.5 Hrs

Learning hours

48.6K+

Learners

Enrol free with email

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Introduction to Data Science

Provided by

Great Learning Academy

Skills you’ll Learn

Introduction to Data Science

Life Cycle of Data

A/B Testing

Time Series

SQL and NoSQL

Big Data

About this Free Certificate Course

To keep up with the ever-evolving aspects of data and its domains, data handling and analysis have become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it. Data Science may be outlined as the study of information, wherever it comes from, what it represents, and also the ways by which it may be reworked into valuable inputs and resources to form business and IT strategies. In this course, you will understand what is data science and why do we need data science in this fast growing technological world. You will learn about life cyle of data along with idea of statistics and time series along with understanding of database such as SQL and NoSQL. Once you have the initial knowledge about the data, you will how to handle large amount of data using Big Data. This course will introduce you to the world of Data Science and topics related to Data Science.

The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.

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Course Outline

What and Why Data Science?

Life Cycle of Data

Basic idea of Distribution

A/B Testing

Time Series

Our course instructor

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

513K+ Learners

17 Courses

Dr. Abhinanda Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. Dr. Sarkar received his B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); served as Associate Dean at the MYRA School of Business; and co-founded OmiX Labs.

Dr. Sarkar’s publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, engineering reliability, renewable energy, and infectious diseases, His teaching has mostly been on statistical theory, methods, and algorithms; together with application topics such as financial modeling, quality management, and data mining.

Dr. Sarkar is a certified Master Black Belt in Lean Six Sigma and Design for Six Sigma. He has been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). Over the years, he has designed and conducted numerous corporate training sessions for technology and business professionals. He is a recipient of the ISI Alumni Association Medal, IBM Invention Achievement Awards, and the Radhakrishan Mentor Award from GE India

Trusted by 10 Million+ Learners globally

4.8

4.81

4.97

4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.52

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Course Rating

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71%

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☆

21%

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Ratings & Reviews of this Course

Joseph Yakubu

5.0

★★★★ ★

Excellent Introductory Course for Data Science Enthusiasts

I enjoyed the course structure and the way complex concepts were broken down into simpler, digestible parts. The practical examples and hands-on projects helped me apply what I learned effectively. It was a great introduction to the world of data science, and I feel much more confident now.

Low Wen Song

5.0

★★★★ ★

Great Platform for Career Preparation

I came here to learn more about data science. With a background in mathematics, I knew enough about statistical analysis but lacked an understanding of the proper workings and ideas of what data science is all about. This course really helped me.

B.M.P.S.M Basnayaka

5.0

★★★★ ★

It Was a Nice Experience and I Got a Great Start to the Subject

The course was well delivered, and I am so grateful to participate.

Kishore Jamsutkar

5.0

★★★★ ★

I Was Able to Get a Good Understanding of What Data Science Is All About

I liked the course content structure and the language made it easy to understand. Topics were covered in a systematic manner, giving an overview and further insights that need to be taken into account.

Prayag Singh

5.0

★★★★ ★

A Wonderfully Practical Course - Both Personally and Professionally

Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real-life examples, which all made for a really enjoyable and informative course. This has more than met my expectations.

Shuddh Rai

5.0

★★★★ ★

It Was a Very Quick and Engaging Course

I loved the way the topics, which seemed to be of great depth, were explained effortlessly. As a result, the course was easy to follow and allowed me to retain whatever crucial knowledge was shared.

Azile Fikela

5.0

★★★★ ★

I Gained a Solid Foundation in Data Science Fundamentals

This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.

Bruno Munene

5.0

★★★★ ★

Exemplary Curriculum That Is Easy to Follow and a Perfect Instructor

The instructor was audible and clear with a good understanding of the topics. He explained the concepts and processes well enough to follow clearly. The course is also well structured.

Jagan Reddy

5.0

★★★★ ★

First, I Gained an In-Depth Understanding of Introduction to Data Science

I enjoyed the structured and comprehensive approach to learning, especially how the courses break down complex topics into digestible sections. The real-world case studies and interactive learning methods also kept me engaged, making the concepts easier to grasp.

Charanpreet Arora

5.0

★★★★ ★

The Course Was Informative and Engaging

The course provided a solid introduction to data science concepts, covering essential topics such as statistics, data manipulation, machine learning, and data visualization. The materials were well-structured and easy to follow.

Certificate of completion

Presented to

Your Name

For successfully completing a free online course

Introduction to Data Science

Provided by

Great Learning Academy

Introduction to Data Science

1.5 Learning Hours . Beginner

Why upskill with us?

1000+ free courses

In-demand skills & tools

Free life time Access

10 Million+ learners

Success stories

Can Great Learning Academy courses help your career? Our learners tell us how.

The AI for Leaders program was thoughtfully designed to include a high level of exposure to experts practicing in the field. Each topic was covered in enough detail to build a solid knowledge base.

Chris Hegeman

Director of Marketing Analytics & Business Intelligence- Embedded Technology/ IoT

Dell, Inc, US

The learning experience was very enriching and the mentors and advisors were very supportive all along. I'm extremely glad I signed up for the program. I definitely got what I wanted from the program and strongly recommend it.

Javier R. Olaechea

Data Solution Integration Advisor

ExxonMobil, US

I found the Data science program to have the perfect combination of relevant content, flexibility, academic rigor, and practical content that allowed me to immediately put all into practice at work.

Gabriel Arbe

Director of Operations, Latin America

VMWARE, US

The AI for Leaders program has been a great learning experience with right levels of depth and breadth across the subject. It is a well administered program which enhanced my learning experience.

Raghavendra P Setty

Vice President

Charles Schwab & Co. In, US

I believe the AIML course is of high-quality, and all the instructors are highly prepared in every topic. I also believe our Mentor is doing a fantastic job every week, and his personal insights and additions to the materials are very valuable.

Gaston Alvarado Maza

Global Category Manager

Materion Corporation,US

The data science journey was full of intense learning, but the best experience I have had. I would be willing to do it over and over again. I will highly recommend it. Thank you The University of Texas and Great Learning!

Kati Laev

Customer Service Administrator

CMT Limited UK

The program was flexible and increased my understanding of AI and the processes for integrating it into business. I would highly recommend this program to business professionals who want to understand AI and its applicability in projects better.

Hugh Hanlon

Defense Research Analyst-Associate, Booz Allen Hamilton (United States)

Booz Allen, US

The AIML program has given me solid foundational knowledge around Python, AI, and ML. The program content was very well-curated, and it covered the right things in the right depth for a program like this.

Pertuso Dryonis

Sr. Advisor Applied Data Analytics, Hess Corporation (United States))

Hess, US

And thousands more such success stories..

Frequently Asked Questions

What are the three main concepts of Data Science?

Data Science is a domain that involves extracting insights from an extensive amount of data using different scientific methods, processes, and algorithms. Visualization, Statistics, Machine Learning, and Deep Learning are important Data Science concepts.

Is intro to Data Science Easy?

Based on the opinions of the people, the scale changes. Data Science, without a doubt, is a challenging course, but to make it manageable, you must be thorough with your basics. Hence, learning the basics of Data Science is comparatively easy when conveyed and understood well.

What are the four components of Data Science?

Data Strategy, Data Engineering, Data Analysis and Models, and Data Visualization and Operationalization are the four components of Data Science.

Where can I learn the basics of Data Science for free?

You can search on the web for the free materials available on Data Science, and you will find plenty of articles, blogs, and other free resources on the web. If you want to enroll in a free Data Science course, you can register in the free course Great Learning offers and secure free certificate.

Will I get a certificate after completing this introduction to Data Science free course?

Yes, you will get a certificate of completion for Introduction to Data Science after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

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